Volume 12 | Issue 2 |

 Abstract

Temples are a crucial archeological source of information for the study of ancient Indian history. As we talk about the ancient India, the Cholas happen to be a crucial yet underestimated dynasty in India. The chola dynasty reigned in the southern part of India during the period of 8th century to 13th century AD, however the earliest traces of cholas are found as early as 3rd century BCE. A prominent king of the empire was Rajendra Chola. He was a military might and naval genius. Started as a commander to his father's army, he as an imperialist, occupied lands of Sri Lanka, laccadives, Maldives, Cambodia, Thailand and Peru. But his military power was not the only great thing. Rajendra chola was also a patron of art and architecture. The south India during this period had a rich culture and heritage. Temples were a part of it. The prominent style of temple architecture was the Dravidian style which is why it is also called a south Indian school of architecture. Though the Dravidian style was started by the pallavas, chola kings like Rajaraja chola and his son, Rajendra Chola had followed the Dravidian style of architecture in their temples. The temples built by the kings are a crucial and a undeniable source of information. Therefore it makes the temples built by the great king Rajendra chola important to history. King Rajendra Chola built the Brihadisvara temple at his new temple Gangaikonda Cholapurum to celebrate his victory in the plains of the Ganges. So in the following paper is an attempt to evaluate the temple that was built under the kingship of rajendra Chola.

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 Keywords

Rajendra Chola , Brihadisvara temple, Gangaikonda Cholapurum, Dravidian style of temple architecture.

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India has witnessed for development of an Economy with many plans changes over the last few decades. Financial inclusion has gained importance since early 2000s. Several reforms and initiatives aimed at poverty alleviation, and enhancing financial inclusion had been attempted by the Indian government. In 2013 that 2 billion working age adult globally have to access types of formal financial services delivered by regulated financial institution. Over the last decades India had faced major problem of poverty. Poverty curb the development of Economy. The purpose of the study is to concentrate on effects of financial inclusion in poverty reduction, Modern effects of Micro finance: effect of enlarging banking activities like, credit facility: effect of SSI (small scale industries): and various government scheme for reduction of poverty alleviation, role of education in poverty alleviation. The Data collection helps to analyze, Actual position of financial inclusion in India in 2023. The finding of the study revealed that there is significant relationship between financial inclusion and poverty alleviation.suggesion further revealed that all financial drivers positively develop relationship between financial inclusion and drivers of finance. This paper recommends that financial inclusion play major role to boost Indian Economy. The level of increasing technology also increases the way of getting finance.

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 Keywords

Education, Technological support, Skill and knowledge Employment, poverty reduction schemes. Economic development.

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Background: Cervical spondylosis is a leading cause of musculoskeletal disability and one of the commonest cause of neck pain. The worldwide trend is for people to use computer for longer periods daily due to increased computer based tasks at work as well as during leisure activities. Neck pain is especially common among the working population and students. Aim and objective: Evaluate the effectiveness of structured teaching program on knowledge regarding cervical spondylosis among IT professionals working in companies. Also compare post -test and pre-test knowledge regarding cervical spondylosis among IT professionals working in companies before and after giving structure teaching program. To find the significant association between pre-test knowledge score regarding cervical spondylosis among IT professionals working in companies with selected socio demographic variable. Materials and method: Quantitative research approach was used in this study. 60 IT Workers who fulfilled inclusion criteria selected by using non probability convenient sampling technique. Pre experimental one group pre-test post-test research design was adapted. Validity of tool was done by 13 personnel from nursing faculty. The researcher used semi structured questionnaire to assess knowledge of IT workers. The data was analyzed in terms of the objective and hypothesis. Result: The analysis and interpretation revealed that the structured teaching programme was an effective tool for assessing knowledge on cervical spondylosis among IT professional working in companies. It is observed that statistically there is a significant difference between pretest and posttest mean of both knowledge. Conclusion: Our result indicates that the planned teaching program was an effective tool for assessing knowledge regarding IT professionals working in selected companies.

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 Keywords

Effectiveness, Structured teaching programme, Knowledge, Cervical Spondylitis, IT professionals.

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Background: A female patient 32 years old was diagnosed as Gridhrasi, given classical treatment according to Ayurvedic text (Vangasen samhit)Vaitarana basti treatment was given. Basti treatment useful for Shoola Shaman (Decreasing pain) in Gridhrasi Vyadhi (disease). Objective: To evaluate the efficacy of Basti Chikitsa in Gridhrasi. Material and Methods: This is a case study of Gridhrasi- Where 32 year old female patient having symptoms of Sphik (buttock) and then radiates to Kati, Prustha (back), Uru(thigh), Janu(knee), Jangha(calf) and Pada(foot) Shoola, Difficulty in walking were indicating confirmed diagnosis of Gridhrasi. VAS scale was applied for the assessment for all symptoms. Management: Vaitarana Basti and Tila Taila Basti for 15 days were done. Result and Conclusions: Significant results were observed and symptoms of Gridhrasi that is mainly Shoola (pain) was reduced. It also shows significant changes in VAS Scale. Thus Vaitarana Basti and Tila Taila Basti has significant effect in the management of Gridhrasi.

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Gridhrasi,Vaitarana Basti,Tila Tail matra Basti

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The IoT-Based crop monitoring System is a cutting-edge solution designed to enhance agricultural productivity and efficiency by utilizing sensor technology and automation. The core objective is to automate the irrigation process based on real-time soil moisture data. The systememploysanESP8266 module to facilitate the seamless exchange of data between various sensors and Firebase, a real-time cloud database. This interconnected system comprises two primary fields, each equipped with soil and soil moisture sensors, temperature sensors, smoke detectors, UV light, buzzer, solenoid valves, and mini water pump. The ESP8266 module serves as the central hub for collecting data from the sensors and transmitting it to the Firebase database. The data includes crucial information such as soil moisture levels, temperature, smoke detection, and UV light intensity. Furthermore, the system integrates alarm functionality through the buzzer and precise irrigation control via the solenoid valve and mini water pump. The data stored in Firebase is accessible through a web application built using React.js and Node.js. This web interface provides users with a graphical representation of the gathered data, allowing them to monitor the agricultural conditions in real-time. Users can view historical data trends, set thresholds, and receive alerts in case of unfavorable conditions, such as low soil moisture levels or unusual temperature fluctuations. The main key features are Data Visualization in which users can remotely monitor soil moisture levels and receive real-time updates on crop conditions through a web application. User Control in this the system allows users to adjust moisture thresholds and irrigation schedules, providing flexibility and customization. Resource Efficiency by automating irrigation, this model optimizes water usage, reducing waste and improving water conservation. This paper not only showcases the integration of IoT technology in agriculture but also serves as a practical and environmentally responsible solution for modern farming practices.

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IoT(Internet Of Things), Automation Sensor, Data Visualization.

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Non- human animals functioning as narrators and protagonists is not common only to fairy tales and fables. Their voice can be found in serious literature too and they narrate the intricacies of their life and their worlds. The primary reason for having animals as narrators is the possibility of evoking empathy from the readers towards the plight of animals. The authors of such works try to decentre human beings and defamiliarize the human perception of the world. Having animals as narrators also facilitate the writers to avoid censorship and persecution by projecting their ideas through animal voice. Thus, ranging from fairy tales to political satires, animal images are common and their voices are used to negotiate the relationship between animals and humans. The paper aims to analyse the Animal narratives in the novel The Bees written by Laline Paull. The plot of the novel is revealed from the perception of a bee and with a limited human intervention. However, traces of anthropocentrism are found in the novel despite its careful detachment from the animal world. The paper sets to show the convergence of animal and human world and the system devised to have a better understanding on the life of bees.

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Animal Fiction, Animal Narratology, Anthropomorphism.

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The main aim of present investigation was to assess the current status of infrastructural facilities in secondary schools under Rashtriya Madhyamik Shiksha Abhiyan (RMSA) of Himachal Pradesh. The findings revealed that majority of sampled secondary schools has adequate infrastructural facilities but some facilities were inadequate almost in all sampled secondary schools in sampled four district of Himachal Pradesh. In the concluding part of the paper, findings have been discussed.

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Rashtriya Madhyamik Shiksha Abhiyan (RMSA), Secondary Education, Infrastructure Facility

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Potato crops offer numerous advantages to human life, with one of the most significant being their high carbohydrate content, which serves as a primary source of nutrition for humans. The progress in potato agriculture holds vital importance for sustaining human life. However, various challenges impede the development of potato farming, including diseases that target potato leaves. If left unaddressed, these diseases can lead to decreased production and potential crop failure. Notable among these leaf diseases is early blight, caused by the fungus 'Alternaria solani', and late blight, caused by the microbe 'Phytophthora infestans'. Each disease presents distinct symptoms, enabling farmers to take preventive measures upon their identification. However, due to the specialized knowledge required, accurate and timely disease identification proves challenging for the average farmer. In response to this, technology in informatics, particularly digital image processing, can offer a solution for disease identification in potato leaves. This research aims to propose an effective method for detecting diseases in potato leaves, utilizing three types of data: healthy leaves, early blight, and late blight. The identification process employs deep learning techniques, specifically utilizing the Convolutional Neural Network (CNN) architecture. The result of this research is that the 70:30 data segmentation produces better accuracy than the 80:20 data segmentation. The accuracy obtained is 98 % on training data and 97 % on validation data using 32 batch sizes at 50 epochs.

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CNN (Convolutional Neural Network), late blight, early blight, healthy, identification, leaves, disease, pixel, Epoch, Crops, leaves

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This study examines the various ways that artificial intelligence (AI) is changing the nature of work. Concerns about the loss of jobs, changes in skill requirements, and socioeconomic effects have gained more and more traction as AI technologies develop. The study examines the complex dynamics of job creation vs removal as it dives into the complex relationship between AI and employment. In light of AI integration, it evaluates the changing skill sets that employers are requiring, taking into account the importance of education and training in preparing the labor force. The study also examines the moral implications of AI's impact on employment, covering topics like algorithmic prejudice and the moral use of AI in recruiting. The study also looks at possible effects on income inequality, highlighting the need for inclusive policies to deal with the shifting environment. The report compares various national perspectives on AI's effects on jobs through a global lens and offers insights into policy frameworks meant to promote a peaceful coexistence between AI technology and workforce stability. Artificial intelligence's (AI) effects on employment are a complicated and dynamic subject. The complex implications of AI on employment across a range of industries are examined in this abstract. It explores how automation is transforming society by examining how AI technologies can both create and destroy jobs. Skill shifts are covered in the discussion, with a focus on the increasing significance of adaptability in the workplace. The abstract also discusses societal ramifications, including the necessity of reskilling programs and the possibility of AI increasing productivity. All in all, it offers a succinct synopsis of the dynamic interaction between AI and the labor market.

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Artificial Intelligence (AI), Job Displacement, Job Creation, Workforce Transition, Ethical Use of AI, Policy Frameworks

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Research into energy collecting technology has grown significantly in recent years as a result of the growing demand for alternate energy sources. Different technologies have been developed recently, and the specific issue of energy harvesting on road pavements is a very young area of research. None of them, however, has demonstrated both high conversion efficiency and technical and financial feasibility. In order to transfer energy from the device surface to an electrical generator, this study discusses the construction of a new mechanical system to be used on an electromechanical device that harvests energy from road pavement. The major objective is to measure and contrast the new system's energy harvesting, transmission, and conversion efficiency with existing systems. There are offered conclusions about the effectiveness of the system

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Road pavement; Energy Harvesting; Energy conversion; System modelling.

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